Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization-Reference-Cited by-同舟云学术

Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization

Author:

Dvurechensky Pavel^ORCID,Kamzolov Dmitry^ORCID,Lukashevich Aleksandr^ORCID,Lee Soomin,Ordentlich Erik,Uribe César A.^ORCID,Gasnikov Alexander

Funder

National Science Foundation

Analytical Center for the Government of the Russian Federation

Deutsche Forschungsgemeinschaft

Moscow Institute of Physics and Technology

Publisher

Elsevier BV

Subject

Computational Mathematics,Control and Optimization,Management Science and Operations Research,Modeling and Simulation

Reference62 articles.

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3. On convergence of distributed approximate Newton methods: globalization, sharper bounds and beyond;Yuan;J. Mach. Learn. Res.,2020

4. Giant: globally improved approximate Newton method for distributed optimization;Wang,2018

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